⚙️ AI regulation to be controlled federally

May 27, 2025 2:54PM GMT+00:00

Good morning. We hope you enjoyed your long Memorial Day weekend. I was revisiting this report by Crunchbase and thought you’d be interested in this stat: In 2024, funding to AI-related companies was over $100 billion, up more than 80% year over year from 2023.

— The Deep View Crew

In today’s newsletter:

  • 🩸 AI for Good: Fighting diabetes before it starts

  • 💰 Oracle backs OpenAI with $40B Nvidia chip deal

  • 🏛️ Trump's "One Big Beautiful Bill" passes House, threatens state AI laws

🩸 AI for Good: Fighting diabetes before it starts

Source: Iman Al-dabbagh, Fortune

1.3 billion people are projected to develop diabetes by 2050, with another 4 billion considered pre-diabetic. AI is helping people with diabetes see how food affects their bodies, track risks in real time and act sooner on long-term health issues. Tools developed by companies like January AI are already making that possible. Best yet? No glucose monitor required.

What happened: At Fortune’s Most Powerful Women International conference in Riyadh, health leaders outlined how AI is shifting diabetes care toward prevention.

January AI uses food image recognition and predictive modeling to tell users how a specific meal will affect their blood sugar, based on individual genomic and lifestyle data. The company trained its engine on a dataset from over 1,000 participants to build real-time, personalized insights.

AI tools are also being applied to complications beyond diet. Olfat Berro, Middle East lead at Roche, highlighted how image analysis and genomics could help predict issues like diabetic vision loss. Leah Cotterill of Cigna noted that broader access to these tools across the Middle East could reduce the long-term strain on health systems.

Why it matters: Diabetes now affects millions worldwide and impacts everything from heart health to eyesight. Traditional care models react after symptoms emerge.
AI makes it possible to flag risk patterns early by analyzing how a person’s unique biology responds to diet and behavior.

That kind of foresight could delay—or even avoid—the worst complications for hundreds of millions.

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💰 Oracle backs OpenAI with $40B Nvidia chip deal

Source: OpenAI

Oracle is buying $40 billion worth of Nvidia’s latest AI chips to power OpenAI’s new data center in Abilene, Texas, as part of the first US site tied to the $500 billion Stargate initiative. The deal marks a major infrastructure play and signals OpenAI’s shift away from Microsoft’s exclusive cloud support.

What happened: Oracle will purchase around 400,000 Nvidia GB200 chips and lease that compute power to OpenAI. The chips will run inside a new 1.2GW facility in Abilene, backed by Crusoe and Blue Owl Capital, which raised $15 billion in financing to build the eight-building campus. Oracle has signed a 15-year lease and will serve as the site’s core tenant.

The data center, expected to be fully operational by mid-2026, rivals Elon Musk’s Colossus project and Amazon’s upcoming 1GW build in Virginia. The Abilene site is part of the broader Stargate vision, which plans to raise up to $500 billion for US and international data center projects. So far, OpenAI and SoftBank have each committed $18 billion to Stargate, while Oracle and MGX have pledged $7 billion apiece.

Stargate’s UAE expansion includes a 10-square-mile AI campus in Abu Dhabi with 5GW of projected power capacity. The international arm is being built by Emirati firm G42 and is part of broader collaboration between US and Gulf leaders.

Why it matters: This deal marks a major turning point in OpenAI’s infrastructure strategy. By sourcing compute from Oracle and staking its future on Stargate, OpenAI is reducing its dependence on Microsoft and building long-term control over its own AI workloads. 

The Abilene data center will be one of the most powerful AI training facilities in the world, setting a new scale for private-sector compute. For Oracle, the partnership locks in a long-term role at the center of AI development. For Nvidia, it represents a massive validation of its GB200 chips and a record-setting volume order. 

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🏛️ Trump's "One Big Beautiful Bill" passes House, threatens state AI laws

Source: Kendall Hoopes

In Washington, D.C., the U.S. House of Representatives has passed President Trump's federal budget bill that includes a controversial 10-year bar on any U.S. state or city from regulating AI, with the legislation now moving to the U.S. Senate for consideration. The bill passed by the narrowest possible margin — 215-214 — with all Democrats and two Republicans voting against it.

What's at stake: Buried 291 pages into the 1,116-page bill, Section 43201(c) describes a 10-year moratorium on state-level enforcement of "any law or regulation regulating artificial intelligence models, artificial intelligence systems, or automated decision systems". The federal ban would immediately nullify more than 20 California AI laws passed just last year and freeze about 30 new bills currently under consideration in Sacramento. California's upcoming transparency law requiring generative AI developers to document their training data would be impossible to enforce. Laws banning AI deepfakes and requiring disclosure when patients interact with AI instead of humans would be swept aside. Even pending bills forcing insurance companies to report AI-driven coverage denials would be dead on arrival.

The arguments: Supporters, including Rep. Brett Guthrie (R-Ky.), argue that differing laws in 50 states would create an impossible regulatory patchwork. Rep. Jay Obernolte (R-Calif.) called it "nonsensical" to invest in a national AI strategy while allowing "1,000 different pending bills in state legislatures" to become law simultaneously.

They point to historical precedent: the Internet Tax Freedom Act of 1998, which blocked new state internet taxes for ten years to nurture the fledgling e-commerce sector. "The results were extraordinary," said Sen. Ted Cruz (R-Texas), suggesting AI needs similar breathing room.

The pushback: California Attorney General Rob Bonta joined a bipartisan coalition of 40 attorneys general urging Congress to drop the idea, calling broad preemption "irresponsible" and warning it would "deprive consumers of reasonable protections" in the absence of federal rules.

The California Privacy Protection Agency cautioned that the moratorium "could rob millions of Americans of rights they already enjoy," including privacy safeguards voters enshrined in 2020. Congresswoman Jan Schakowsky (D-Ill.) blasted the moratorium as "a giant gift to Big Tech," saying it enables deepfakes and permits unchecked profiling of citizens.

The measure passed a House committee on party lines but faces scrutiny in the Senate, where rules against unrelated policy riders could derail it.

History shows that smart regulation often drives innovation, not stifles it. Aviation boomed under FAA safety standards because people trusted planes were safe. Pharmaceuticals advanced after stricter drug approval rules weeded out dangerous snake oil. Banking regulations restored trust after the Great Depression, enabling decades of financial innovation.

Without guardrails, we risk AI disasters that could set the field back years. Imagine autonomous vehicles rushed to market causing fatal accidents, or AI medical tools misdiagnosing patients. Nothing kills innovation faster than customers losing trust.

California Sen. Scott Wiener called it "a horrible provision to override all state regulation of AI for ten years," noting "California would no longer be able to ban or regulate deepfake revenge porn, which could also include fake kiddie porn".

A ten-year federal pre-emption would concentrate every dispute over algorithmic accountability in Washington, handing Congress a tight deadline to craft national guardrails. Done well, it could deliver uniform clarity; done late, it risks a regulatory vacuum where deep-fakes, opaque health bots, and biased decision systems roam unchecked.

The narrow House passage and growing Senate opposition suggest this provision may not survive — but the fact that it got this far is very interesting.

Which image is real?

Login or Subscribe to participate in polls.

🤔 Your thought process:

Selected Image 1 (Left):

  • “The other image had shadows extending to the left but no object can be seen that would cast the shadow.”

  • “AI has a lot of trouble with text in images, so the black and white image had to be real. I didn't think AI would learn how to graffiti tag before it could generate company logos or other written text.”

Selected Image 2 (Right):

  • “Looked like a scene from El Paso, TX.”

  • “That grass growing in the cracks seemed authentic to me.”

💭 Poll Results

Here’s your view on if other companies will create AI “employees”:

Yes, many more. This is just the start:

  • “It's worth the risk. Just have your spin sorted when you're caught.”

  • “A) People never learn. B) Corporate PR is built around obfuscation and misdirection. They view "incomplete information" as the normal condition of humanity so they don't mind perpetrating that condition. C) Corporate bosses view the world through dollar sign lenses, so anything that cuts labor costs will be attempted. Ruining lives in the dark is their wet dream.”

  • “Anytime responsibility can be shifted. It will be. there is no will anymore to take responsibility for your actions and this makes that extremely easy”

No, companies have already seen the bad PR:

  • Crickets… In case you were wondering, 70% of you all voted for “Yes”

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